Triple

T17498851
Position Surface form Disambiguated ID Type / Status
Subject Amazon Athena E426142 entity
Predicate supportsCompression P203 FINISHED
Object Zstandard NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zstandard | Statement: [Amazon Athena, supportsCompression, Zstandard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zstandard
Context triple: [Amazon Athena, supportsCompression, Zstandard]
  • A. zlib
    zlib is a widely used software library that provides lossless data compression using the DEFLATE algorithm.
  • B. bzip2
    bzip2 is a free and open-source data compression program known for its high compression ratios using the Burrows–Wheeler algorithm.
  • C. gzip
    gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
  • D. 7zip
    7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
  • E. lzip
    lzip is a lossless data compression program and file format known for its high compression ratios, data integrity features, and use in software distribution archives.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zstandard
Target entity description: Zstandard is a fast, modern lossless data compression algorithm developed by Facebook that offers high compression ratios with low CPU usage.
  • A. zlib
    zlib is a widely used software library that provides lossless data compression using the DEFLATE algorithm.
  • B. bzip2
    bzip2 is a free and open-source data compression program known for its high compression ratios using the Burrows–Wheeler algorithm.
  • C. gzip
    gzip is a widely used GNU file compression utility that reduces file size using the DEFLATE algorithm, commonly producing .gz archives on Unix-like systems.
  • D. 7zip
    7zip is a high-compression open-source archive format commonly used for efficiently packaging and reducing the size of files.
  • E. lzip
    lzip is a lossless data compression program and file format known for its high compression ratios, data integrity features, and use in software distribution archives.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.